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59 postsHow context is managed in long-running agentic systems
A look at how Director's Journal, Critic's Review and Timeline mechanisms keep multi-agent security investigation systems coherent over long-running sessions.
Slack Replaces SSH with REST APIs in EMR Data Pipelines
Slack removed SSH dependency from EMR clusters, migrating 700+ data jobs to a REST-based architecture using YARN Distributed Shell and Quarry.
How Airbnb Broke Circular Dependencies in Its Observability Stack
Airbnb engineers explain how they eliminated circular dependencies in their metrics pipeline using dedicated Kubernetes clusters and a custom Envoy-based networking layer.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comNetflix Unveils Slow-Fast Architecture for Notifications
Netflix built a hierarchical notification system inspired by Kahneman's fast/slow thinking model, decoupling long-term pacing strategy from real-time message selection.
Swarm: A New Framework for Multi-Agent Workflows in Swift
Swarm is a multi-agent framework that provides compile-time security with Swift 6.2, offering an alternative to LangChain. It provides type-safe tools and crash recovery.
Does Code Cleanliness Affect Coding Agents?
Research explores the impact of code cleanliness on autonomous coding agents, highlighting its importance for efficiency in AI-driven development.
Allocating on the Stack
Go 1.25 and 1.26 enhance stack allocations, reducing garbage collector load and improving memory efficiency.
How Sentry uses a Claude skill to reproduce SDK bugs
Sentry engineers built a Claude skill that turns GitHub issues into minimal reproductions, cutting boilerplate work and speeding up SDK bug triage across 159 packages.
Teaching AI to Read Compliance Papers, Not to Decide
A two-stage AI pipeline reads SMS compliance documents field by field, while a deterministic rule engine — never the model — makes every approve, reject or review decision.
The Comprehensive Guide to Agentic AI: An End-to-End Practitioner Resource
A new arXiv book covers the agentic AI stack under one roof, from LLM fundamentals to multi-agent architectures. A practical reference for engineers.